Trimont - Senior Associate - Data Science

Model Development: - Design, train, and evaluate machine learning models for production use - Conduct experiments and A/B tests to validate model improvements - Implement model interpretability and explainability techniques - Stay current with latest research and apply state-of-the-art methods Production ML: - Collaborate with Engineering and infrastructure to deploy models to production - Build data pipelines and feature engineering workflows - Monitor model performance and implement retraining strategies - Create APIs and interfaces for model predictions - Optimize models for latency, throughput and cost Data Analysis and Insights: - Perform exploratory data analysis - Identify patterns and anomalies in commercial real estate data - Communicate findings to product and business stakeholders - Develop metrics and dashboards to track model performance - Validate data quality and implement data validation Document Intelligence and NLP: - Build document extraction and classification models for loan documents - Develop NLP pipelines for processing unstructured financial text - Implement OCR and document parsing solutions for automated data extraction Agentic AI and LLM Systems: - Design and implement LLM-powered applications and agentic workflows - Develop RAG (Retrieval-Augmented Generation) systems for document Q&A - Implement prompt engineering strategies and LLM evaluation frameworks - Build guardrails and safety mechanisms for AI-generated outputs Collaboration and Support: - Partner with Product teams to translate business requirements into ML solutions - Work with Data Engineers on data pipeline and feature store requirements - Collaborate with Domain Experts to validate model outputs against business logic - Document model architectures, experiments, and decision rationale - Mentor junior data scientists and share best practices Required Qualifications: - 5+ years of experience in data science or machine learning - Expert proficiency in Python and ML libraries (scikit-learn, PyTorch, TensorFlow) - Experience deploying ML models to production environments - Strong foundation in statistics, probability, and experimental design - Experience with NLP and document processing techniques - Proficiency with SQL and data manipulation at scale - Experience with cloud ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) - PhD degree in Computer Science, Statistics, Mathematics, or related field (or equivalent experience) Preferred Qualifications: - Experience in financial services, fintech, or SaaS environments - Experience with LLMs, RAG systems, and agentic AI frameworks - Masters or PhD in a quantitative field - Experience with MLOps tools (MLflow, Kubeflow, Weights & Biases) - Knowledge of computer vision or OCR for document processing - Familiarity with compliance requirements in financial services Trimont is an equal opportunity employer, and were proud to support and celebrate diversity in the workplace. If you have a disability and need an accommodation or assistance with the application process and/or using our website, please contact us. We are proud to maintain a drug-free policy, ensuring that our community is a secure and productive space for all our team members. .